AI analysis of snoring sounds may help identify the source of upper airway obstruction and support non-invasive sleep ...

A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.

A unique protein signature has been identified for pediatric-onset inflammatory bowel disease (IBD), which is associated with ...

Reports demonstrates that whole-brain Single Photon Emission Computed Tomography (SPECT) imaging, combined with advanced ...

Abstract: Multi-label twin support vector machine (MLTSVM), being an effective multi-label classifier based on twin support vector machine (TSVM), has been widely studied and applied due to its ...

Abstract: Classification tasks have long been a central concern in the field of machine learning. Although deep neural network-based approaches offer a novel, versatile, and highly precise solution ...

This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

The company is combining human-reviewed AI tools with interactive, gamified learning to improve safety training, incident ...

A Korean research team has developed a new viral vector technology that significantly improves the production efficiency of next-generation cell and gene therapies known as CAR immune cell therapies, ...

The Genki Attack Vector offers protection for your console and comfort in handheld mode — but is it worth its asking price?

Hyperspectral image classification involves hundreds of spectral bands, many of which contain redundant information. Selecting a compact subset of informative and non-redundant bands can significantly ...